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A prospective, multicenter derivation of a biomarker panel to assess risk of organ dysfunction, shock, and death in emergency department patients with suspected sepsis.

机译:生物标志物面板的前瞻性,多中心推导,用于评估疑似脓毒症的急诊患者的器官功能障碍,休克和死亡风险。

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OBJECTIVE: To define a biomarker panel to predict organ dysfunction, shock, and in-hospital mortality in emergency department (ED) patients with suspected sepsis. DESIGN: Prospective observational study. SETTING: EDs of ten academic medical centers. PATIENTS: There were 971 patients enrolled. Inclusion criteria: 1) ED patients age > 18; 2) suspected infection or a serum lactate level > 2.5 mmol/L; and 3) two or more systemic inflammatory response syndrome criteria. Exclusion criteria: pregnancy, do-not-resuscitate status, or cardiac arrest. MEASUREMENTS AND MAIN RESULTS: Nine biomarkers were assayed from blood draws obtained on ED presentation. Multivariable logistic regression was used to identify an optimal combination of biomarkers to create a panel. The derived formula for weighting biomarker values was used to calculate a "sepsis score," which was the predicted probability of the primary outcome of severe sepsis (sepsis plus organ dysfunction) within 72 hrs. We also assessed the ability of the sepsis score to predict secondary outcome measures of septic shock within 72 hrs and in-hospital mortality. The overall rates of each outcome were severe sepsis, 52%; septic shock, 39%; and in-hospital mortality 7%. Among the nine biomarkers tested, the optimal 3-marker panel was neutrophil gelatinase-associated lipocalin, protein C, and interleukin-1 receptor antagonist. The area under the curve for the accuracy of the sepsis score derived from these three biomarkers was 0.80 for severe sepsis, 0.77 for septic shock, and 0.79 for death. When included in multivariate models with clinical variables, the sepsis score remained highly significant (p < 0.001) for all the three outcomes. CONCLUSIONS: A biomarker panel of neutrophil gelatinase-associated lipocalin, interleukin-1ra, and Protein C was predictive of severe sepsis, septic shock, and death in ED patients with suspected sepsis. Further study is warranted to prospectively validate the clinical utility of these biomarkers and the sepsis score in risk-stratifying patients with suspected sepsis.
机译:目的:定义一个生物标志物组来预测疑似败血症的急诊科(ED)患者的器官功能障碍,休克和住院死亡率。设计:前瞻性观察研究。地点:十个学术医学中心的急诊室。患者:971例患者入组。纳入标准:1)ED患者年龄> 18; 2)怀疑感染或血清乳酸水平> 2.5 mmol / L;和3)两个或多个系统性炎症反应综合征标准。排除标准:妊娠,请勿复苏状态或心脏骤停。测量和主要结果:从ED演示中抽取的血液中分析了9种生物标志物。多变量logistic回归用于确定生物标志物的最佳组合以创建一个面板。使用导出的生物标志物权重公式来计算“败血症评分”,这是72小时内严重败血症(败血症加器官功能障碍)主要预后的预测概率。我们还评估了败血症评分的能力,以预测72小时内败血症性休克和院内死亡率的次要结果。每种结果的总发生率为严重败血症,为52%;败血性休克,39%;住院死亡率为7%。在测试的九种生物标记物中,最佳的3标记组是中性粒细胞明胶酶相关的脂蛋白,蛋白C和白介素1受体拮抗剂。从这三个生物标志物得出的败血症评分准确性曲线下面积为:严重脓毒症为0.80,败血性休克为0.77,死亡为0.79。当将其纳入具有临床变量的多变量模型中时,所有三个结局的败血症评分均保持高度显着性(p <0.001)。结论:嗜中性粒细胞明胶酶相关的脂蛋白,白细胞介素-1ra和蛋白C的生物标志物组可预测患有可疑败血症的ED患者的严重败血症,败血性休克和死亡。有必要进行进一步的研究来前瞻性地验证这些生物标记物和败血症评分在可疑败血症的风险分层患者中的临床效用。

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